Ibadan Electricity Distribution Company (IBEDC) Plc - Headquartered in Ibadan is responsible for electricity distribution within the south western zone(Oyo, ...
Elasticsearch is the distributed search and analytics engine at the heart of the Elastic Stack. Logstash and Beats facilitate collecting, aggregating, and enriching your data and storing it in Elasticsearch. Kibana enables you to interactively explore, visualize, and share insights into your data and manage and monitor the stack. Elasticsearch is where the indexing, search, and analysis magic happens.
Elasticsearch provides near real-time search and analytics for all types of data. Whether you have structured or unstructured text, numerical data, or geospatial data, Elasticsearch can efficiently store and index it in a way that supports fast searches. You can go far beyond simple data retrieval and aggregate information to discover trends and patterns in your data. And as your data and query volume grows, the distributed nature of Elasticsearch enables your deployment to grow seamlessly right along with it.
Fast time-to-value
Elasticsearch offers simple REST-based APIs, a simple HTTP interface, and uses schema-free JSON documents, making it easy to get started and quickly build applications for various use cases.
High performance
The distributed nature of Elasticsearch enables it to process large volumes of data in parallel, quickly finding the best matches for your queries.
Complimentary tooling and plugins
Elasticsearch comes integrated with Kibana, a popular visualization and reporting tool. It also offers integration with Beats and Logstash, helping you easily transform source data and load it into your Elasticsearch cluster. You can also use various open-source Elasticsearch plugins such as language analyzers and suggesters to add rich functionality to your applications.
Near real-time operations
Elasticsearch operations such as reading or writing data usually take less than a second to complete. This lets you use Elasticsearch for near real-time use cases such as application monitoring and anomaly detection.
Easy application development
Elasticsearch provides support for various languages including Java, Python, PHP, JavaScript, Node.js, Ruby, and many more.
